Abstract Introduction Suicide is a serious public health problem that affects the whole world. This study describes development of the prototype for an mHealth application (app) intended to assist healthcare professionals to identify suicide risk in hospitalized patients and reports on testing of the app by some of these professionals, conducted to confirm its functionality. Method This is applied exploratory research into use of Information Technology within the healthcare field, based on application prototyping for mobile devices. The research was conducted at the Universidade Federal de Ciências da Saúde de Porto Alegre (UFCSPA) from 2017 to 2019. Six healthcare professionals, one data scientist, and three undergraduate students in Biomedical Informatics took part in the study. All research participants signed the free and informed consent form. Results The main findings show that the development team created a prototype named Detect-S, which became a cross-platform application (iOS and Android) offering 16 functions. Conclusion It can be concluded that Detect-S has the potential to be a positive technological instrument that can be tested in a hospital setting to assist healthcare professionals to identify and manage patients with at risk of suicide.

Resumo O presente artigo objetivou descrever a territorialização com uso do georreferenciamento e da construção de mapeamento geográfico e a estratificação de vulnerabilidade social familiar na Atenção Primária à Saúde vivenciado por uma equipe de residentes do programa de Residência Multiprofissional em Saúde Coletiva baseada nos principais problemas sociais. Para territorialização utilizou-se dos programas SW Maps e Google Earth Pro e para caracterização sociodemográfica e clínica das famílias fichas A e B do e-SUS, transcritas em planilha para cálculo da estratificação. Através do score final gerado com o preenchimento de sentinelas, o programa estratificou as famílias em graus de vulnerabilidade de diferentes possibilidades, sendo elas, sem risco, baixo risco, médio risco, alto risco e altíssimo risco. Na territorialização identificou-se ruas, travessas e georreferenciou-se pontos de riscos, equipamentos sociais, famílias com e sem cadastros do e-SUS e casas desocupadas. Das 615 famílias georreferenciadas, 316 (51,38%) não tinham cadastro ou esses estavam incompletos no momento da coleta, enquanto que 299 famílias possuíam cadastro preenchido nas quais observou-se que a maioria (60,53 %) apresentou situação de baixo risco e uma parcela considerável foi considerada de médio risco.

Abstract This article describes a process of territorialization undertaken in Family Health Strategy micro-areas by a team of residents from the Interprofessional Public Health Residency Program at Cariri Regional University using georeferencing tools and the stratification of families according to degree of social vulnerability. A map of social vulnerability was created using SW Maps and Google Earth Pro based on sociodemographic and clinical data obtained from forms A and B of the e-SUS and inputted into an Excel worksheet. The families were stratified into five degrees of vulnerability based on the overall score obtained for a set of socioeconomic and clinical sentinel indicators: without risk, low risk, medium risk, high risk and very high risk. During the territorialization process, we identified streets and side streets and georeferenced points of risk, social facilities, registered and unregistered families, and vacant homes. Over half of the 615 georeferenced families (316 or 51.38%) were not registered in the e-SUS or had not completed their registration at the time of data collection. Most of the 299 registered families (60.53%) were classified as being at low risk and a considerable portion were medium risk.

Resumo O presente artigo objetivou descrever a territorialização com uso do georreferenciamento e da construção de mapeamento geográfico e a estratificação de vulnerabilidade social familiar na Atenção Primária à Saúde vivenciado por uma equipe de residentes do programa de Residência Multiprofissional em Saúde Coletiva baseada nos principais problemas sociais. Para territorialização utilizou-se dos programas SW Maps e Google Earth Pro e para caracterização sociodemográfica e clínica das famílias fichas A e B do e-SUS, transcritas em planilha para cálculo da estratificação. Através do score final gerado com o preenchimento de sentinelas, o programa estratificou as famílias em graus de vulnerabilidade de diferentes possibilidades, sendo elas, sem risco, baixo risco, médio risco, alto risco e altíssimo risco. Na territorialização identificou-se ruas, travessas e georreferenciou-se pontos de riscos, equipamentos sociais, famílias com e sem cadastros do e-SUS e casas desocupadas. Das 615 famílias georreferenciadas, 316 (51,38%) não tinham cadastro ou esses estavam incompletos no momento da coleta, enquanto que 299 famílias possuíam cadastro preenchido nas quais observou-se que a maioria (60,53 %) apresentou situação de baixo risco e uma parcela considerável foi considerada de médio risco.

Abstract This article describes a process of territorialization undertaken in Family Health Strategy micro-areas by a team of residents from the Interprofessional Public Health Residency Program at Cariri Regional University using georeferencing tools and the stratification of families according to degree of social vulnerability. A map of social vulnerability was created using SW Maps and Google Earth Pro based on sociodemographic and clinical data obtained from forms A and B of the e-SUS and inputted into an Excel worksheet. The families were stratified into five degrees of vulnerability based on the overall score obtained for a set of socioeconomic and clinical sentinel indicators: without risk, low risk, medium risk, high risk and very high risk. During the territorialization process, we identified streets and side streets and georeferenced points of risk, social facilities, registered and unregistered families, and vacant homes. Over half of the 615 georeferenced families (316 or 51.38%) were not registered in the e-SUS or had not completed their registration at the time of data collection. Most of the 299 registered families (60.53%) were classified as being at low risk and a considerable portion were medium risk.

ABSTRACT: Environmental impacts caused by the addition of rare earth elements (REEs) to agricultural soils are a growing concern. The sedimentary basin of the Gurguéia River is located in one of the last agricultural frontiers in Brazil; nevertheless, data regarding quality reference values (QRVs) for REEs in soils are still scarce. The objective of this study was therefore to determine the natural concentration and establish the QRVs of REEs in soils of Gurguéia watershed, Brazil. Fifty-five composite soil samples were collected at sites under no or minimal anthropic interference. The average REE natural concentrations in soils from the Gurguéia watershed were lower than those found in other regions of Brazil and worldwide, following the order (mg kg−1): Ce (14.01) > Nd (6.19) > La (5.52) > Pr (2.51) > Sm (1.45) > Gd (0.93) > Dy (0.63) > Er (0.42) > Yb (0.39) > Tb (0.28) > Eu (0.26) > Lu (0.20). The parent material was the main factor that controlled the distribution of REEs in soils. The QRVs in soils followed the order (mg kg−1): Ce (18.8) > Nd (7.92) > La (6.32) > Pr (3.3) > Sm (1.97) > Gd (1.35) > Dy (0.85) > Er (0.55) > Yb (0.47) > Tb (0.37) > Lu (0.25). These values serve as a basis to assist the development of legislation, including REE thresholds for Brazilian soils.